Can failure in AI systems be caught and explained before patients feel it? The input of sensitive medical information into algorithms also creates a privacy problem in ensuring that patients’ healthcare information remains secure. A striking example comes from a commercial risk-prediction algorithm used by U.S. hospitals to identify patients who needed extra care. The Dangers of Unexplainable AI (Transparency Issue)Another growing worry with medical AI is the “black box” problem, where algorithms give answers without showing how they arrived at them. Patient Privacy in the Age of Medical AIThere is further concern surrounding the large volumes of private medical data required to train AI systems.

Source: The Guardian January 15, 2026 16:25 UTC